Enhancing sustainable agriculture through innovative packaging: consumer preferences and willingness to pay in the Nepalese market by Anisha Giri, Tilak Raj Chaulagai

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Detecting heavy trucks from mobile phone trajectories using image-based behavioral representations and deep learning models by Franco Basso, Félix des Rotours, Tomás Maldonado, Raúl Pezoa, Mauricio Varas

“…This work provides a robust tool for analyzing freight transport patterns, thereby supporting the development of strategies to mitigate the negative externalities of freight transportation while preserving its economic benefits.…”
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The Exploitation of the Traditional Component in Restructuring Modern Food Offer in Romania by Magdalena Bobe, Roxana Procopie, Maria Alexandra Toma

“…Food and eating habits, together with adjacent agricultural activities have had and an important role in the development of modern society and the individual itself. …”
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Potential distribution of native freshwater fish in Tabasco, Mexico by Paula Andrea Castillo-Torres, Enrique Martínez-Meyer, Fernando Cordova Tapia, Luis Zambrano

“…The distribution patterns of the freshwater fish within Tabasco wetlands have not being yet studied at a regional scale. …”
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No genetic structure detected in multiple Brazilian marine fish species by Julia Tovar Verba, Adam Stow, Priscila F. M. Lopes, Maria Grazia Pennino, Antonio Sole-Cava, Sergio Maia Queiroz Lima

“…Consequently, identifying evolutionarily significant genetic lineages within exploited species can benefit the development of conservation management strategies. With the absence of genetic data life history traits are sometimes assumed to be good predictors of genetic patterns in natural populations. …”
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Reliability Analysis of Improved Type-II Adaptive Progressively Inverse XLindley Censored Data by Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat

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Ratings  of  Territories —   A  Tool  of  Complex  Statistical  Analysis  (Information  Aspect) by L. Yu. Arkhangelskaya

“…Building ratings of territorial entities both within the countries in line with their administrative-territorial division, patterns, economic, historic, social, ethnic or religious relationships, environmental features; and also when comparing individual countries and their coalitions to date is a very urgent problem, the solution of which allows for selective estimation of the level of socio-economic, political and ecological status of the territories, as well as comparing them with the unity of the methodological approaches to the assessment of the territories, and also explore the changes over time of this state or condition while maintaining comparability of the sample data on a single ranking methodology with the set of indicators. …”
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ECONOMIC SECURITY OF HIGHER EDUCATION: A SYSTEMIC APPROACH by Nikolay Plotnikov

“…The basic features of higher education in the national security system, where an important role is given to the identiication of patterns of development of higher education. …”
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Genesis of the education system in the context of the wave theory of E. Toffler by Roman A. Romashov, Dmitry A. Lipinsky, Aleksandra A. Musatkina, Alexsey A. Stankin, Olga E. Surkova

“…Consider the features of the genesis of education in the wave theory of socio-cultural development of E. …”
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INTERBLOCK ZONES IN THE CRUST OF THE SOUTHERN REGIONS OF EAST SIBERIA: TECTONOPHYSICAL INTERPRETATION OF GEOLOGICAL AND GEOPHYSICAL DATA by K. Zh. Seminsky, N. O. Kozhevnikov, A. V. Cheremnykh, E. V. Pospeeva, A. A. Bobrov, V. V. Olenchenko, M. A. Tugarina, V. V. Potapov, R. M. Zaripov, A.S. Cheremnykh

“…Integrated interpretation of the data is challenging: when applied separately, the methods and techniques reveal various specific features of interblock zone that differ in the degree of heterogeneity of the internal patterns depending on conditions of their formation and development. …”
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Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus by Marco Tjakra, Kristína Lidayová, Christophe Avenel, Christel A.S. Bergström, Shakhawath Hossain

“…This study presents a machine-learning-driven framework that integrates microrheological features into diffusional fingerprinting to characterize nano- and micro-scale particle diffusion patterns in mucus and assess the effect of mucus microrheology on such movements. …”
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Music Similarity Detection Through Comparative Imagery Data by Asli Saner, Min Chen

“…In this paper, we present a technical solution for training music similarity detection models through the use of comparative imagery data. With the aid of feature-based analysis and data visualization, we conducted experiments to analyze how different music features may contribute to the judgment of plagiarism. …”
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User authentication of industrial internet based on HHT transform of mouse behavior by Yigong ZHANG, Qian YI, Jian LI, Congbo LI, Aijun YIN, Shuping YI

“…The rapid development of the industrial internet had caused widespread concern about the network security, and the end-user authentication technology was considered a research hotspot.According to the characteristics of human-computer interaction in industrial internet, an experimental website was designed.24 users' mouse behavior data in an uncontrolled environment were collected within 2.5 years to conduct case studies.Hilbert-Huang transform (HHT) was used to extract frequency domain features of mouse behavior signals, combined with time domain features to form a time-frequency joint domain feature matrix of 163-dimensional to characterize user mouse behavior patterns.Bagged tree, support vector machine (SVM), Boost tree and K-nearest neighbor (KNN) were used to build a user authentication model， and the comparison result showed that the Bagged tree had the best internal detection effect in this case, with an average false acceptance rate (FAR) of 0.12% and an average false rejection rate (FRR) of 0.28%.In external detection, the FAR was 1.47%.Compared with the traditional mouse dynamics method, the frequency domain information of mouse behavior extracted by HHT can better realize the user authentication, and provide technical support the security of the industrial internet.…”
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Genome-Wide Identification and Expression Analysis of the G-Protein Gene Family in Barley Under Abiotic Stresses by Ailing Han, Zhengyuan Xu, Zhenyu Cai, Yuling Zheng, Mingjiong Chen, Liyuan Wu, Qiufang Shen

“…Heterotrimeric G-proteins are fundamental signal transducers highly conserved in plant species, which play crucial roles in regulating plant growth, development, and responses to abiotic stresses. Identification of G-protein members and their expression patterns in plants are essential for improving crop resilience against environmental stresses. …”
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Classifying Emotionally Induced Pain Intensity Using Multimodal Physiological Signals and Subjective Ratings: A Pilot Study by Eun-Hye Jang, Young-Ji Eum, Daesub Yoon, Sangwon Byun

“…SC features emerged as key biomarkers, while valence and arousal offered complementary insights, supporting the development of personalized, psychologically informed pain assessment systems.…”
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In vivo electrophysiology recordings and computational modeling can predict octopus arm movement by Nitish Satya Sai Gedela, Ryan D. Radawiec, Sachin Salim, Julianna Richie, Cynthia Chestek, Anne Draelos, Galit Pelled

“…This study demonstrates how real-time motor behaviors can be predicted and distinguished, contributing to the development of brain-machine interfaces. The ability to accurately model and predict complex movement patterns has broad implications for advancing technologies in robotics, neuroprosthetics, and artificial intelligence, paving the way for more sophisticated and adaptable systems.…”
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Assessment of economic well-being in South Africa based on remote sensing transfer learning by L. Wang, L. Wang, T. Long, T. Long, E. Adam

“…CNNS are trained to predict nighttime light intensity, act as proxies for economic activity, while learning to recognize environmental features. Patterns indicating economic activity and environmental conditions can be identified from daytime images alone. …”
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Hierarchical Embedded System Based on FPGA for Classification of Respiratory Diseases by Trong-Thanh Han, Kien Le Trung, Phuong Nguyen Anh, Anh Do Trung

“…Objectives: This research aims to design and develop a hierarchical embedded system that utilizes respiratory sound features for diagnosing COPD and other respiratory disorders. …”
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Novel Technique for Backside Alignment Using Direct Laser Writing by Melissa Mitchell, Siva Sivaraya, Simon J. Bending, Ali Mohammadi

“…Test samples are cut from a 2 inch Si wafer, and copper features are sputtered and developed onto the topside. …”
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Dynamic token encryption for preventing permission leakage in serverless architectures by Yu Liu, Fu Li, Chenhao Sun

“…Moreover, the designed multi-factor token verification model integrates dynamic factors such as call chain features and behavior patterns, which can defend against various security threats. …”
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